Abstract
This paper presents a biometric recognition based on the iris of a human eye using gray-level co-occurrence matrix (GLCM). A new approach of GLCM, called 3D-GLCM, which is expanded from the original 2D-GLCM is proposed and used to extract the iris features. The experimental results show that the proposed approach gains an encouraging performance on the UBIRIS iris database. The recognition rate up to 99.65% can be achieved. © Springer-Verlag Berlin Heidelberg 2009.
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CITATION STYLE
Chen, W. S., Huang, R. H., & Hsieh, L. (2009). Iris recognition using 3D Co-occurrence matrix. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5558 LNCS, pp. 1122–1131). https://doi.org/10.1007/978-3-642-01793-3_113
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